0 USD We do not charge per resume. We offer multiple licensing models that are designed to fit your revenue model.

150 USD You can purchase blocks of credits good for 12 months or pay monthly. Buy only what you need as the price per parse goes down as volume goes up. You will be notified when you have 20% of your credits remaining. Give us an estimate of your monthly or annual usage and we'll give you a meaningful quote.

199 USD for 2000 resumes per month.

10 USD per 100 CVs to $1 per 100 CVs, depending on the contingent of the package ordered

Features

Saas

Yes Component deployment or hosted solution.

Yes Component deployment or hosted solution.

Yes (SaaS) Private cloud solutions anywhere in the world or on premise.

Yes SaaS enabled platform for b2b customers

Yes Component deployment or hosted solution.

Yes Hosted service

Scalability

Yes

Yes DaXtra Parser can also be supplied as a hosted service, running on a redundant, load-balanced platform, for maximum availability and accuracy from the latest release version at all times.

Standardized HR-XML or mapping it to your specific database
configuration.

HR-XML Resume 2.1, 2.4, and 2.5 schemas, CSV files, and human
readable text. The Parser implements virtually the entire schema.
All XML schemas are fully customizable and new tags and extensions
can be added if so desired.

DaXtra Parser outputs a defined XML schema for both Candidates and
Vacancies. These schemas can be extended on request to support
native extraction of content into bespoke user-fields, or bespoke
schemas are also available.

HR-XML 2.5 & 3.2 and HR-XML JSON Lightweight Recruiting
Standard. Plain text version of the resume or job description
(order). All XML schemas are fully customizable and new tags and
extensions can be added.

The Sovren Semantic Matching Engine (“SSME”) works with the Sovren
Résumé/CV Parser and the Sovren Job Order Parser to provide
advanced matching capabilities between a source document and
candidates. The SSME matches profiles, not keywords.

DaXtra Parser provides for the parsing of social media content, by
supporting the growing list of Social CVs and Business Profiles,
along with all electronic communication contact types, such as
Twitter, Skype, LinkedIn and Xing contact info, amongst others. Not
only does DaXtra Search aggregate searching, it integrates directly
into your CRM database, meaning that the CV data you already own is
exploited to maximum effect.

HireAbility’s CV / Resume and Job Posting parser employs several AI
strategies including natural language processing techniques and
pattern recognition in order to parse relevant information from
resumes written in a free-text format. ALEX is a grammar-based
parser using proprietary algorithms to understand and properly tag
meaningful data in even the most unconventional and complicated
resumes/CVs. As a grammar-based parser ALEX assigns meaning to
terms (words and sentences) based upon the context in which they
appear. ALEX’s ability to identify properly the context of
CV/resume and job posting terms significantly improves the accuracy
of output data compared to conventional ‘key-word’-based and
statistical parsers. ALEX CV/Resume parser supports Social Media
CV, profile and Business profile parsing. The growing list of
Social Media profiles includes LinkedIn, Indeed, Monster,
Careerbuilder, Facebook and Twitter.

CV Automation is the game-changer for Recruitment Software's as
with existing set up, we Parse resumes, Source Social Profiles of
Applicant, enables Semantic search-match to get you the perfect fit
and finally all that in single workflow i.e. One Click.

Textkernel develops its resume/CV parsing software with Machine
Learning technology. Textractor, the company’s core engine, uses
thousands of examples learn how to automatically recognise data
from resumes/CVs and profiles. Textkernel is the first company to
release resume parsing models based on Deep Learning, available for
both English and German, which results in a significant error
reduction of up to 30% when parsing resumes/CVs. Deep Learning is
being rolled out to additional languages on an ongoing basis.

RapidParser is more than a simple plaintext CV parser. The
formatting information of each CV is fully respected during
parsing, which results in significantly better extraction quality
as common plaintext CV processors can achieve. More than 10 years
of CV parser engineering knowledge is clustered into an extremely
fast and accurate CV parser. RapidParser is designed to deliver
excellent parsing results in a minimum of time.

Source code repository

The source code to the Parser is available for licensing. Source
code escrows are also available.

Escrow available for clients paying over $250k/yr.

Integration

The Parser and Converter are components, not applications, and can
be incorporated into your application in several ways: • As direct
references in .NET projects • As COM components in any Windows
application • As a SOAP web service run on a Windows server and
accessed from any platform/language • Via SaaS. The Sovren®
Resume/CV Parser is a 100% pure managed code Microsoft .NET
assembly (a single DLL). It requires the Microsoft .NET Framework
runtime version 2.0 or higher and works in 32-bit or 64-bit
applications.

Support is provided for multiple integration methods, including COM
objects, Java, Soap and .net, and multiple output formats are
supported alongside DaXtra’s own XML schema, including HR-XML.

ALEX integrates easily with your system with a single API key and a
few lines of code. Details available at our website.

Easy integration with complete documentation. Set up in an hour and
start parsing. API call set up. One time work.

Extract! resume/CV parsing seamlessly integrates into the back-end
of any CRM or ATS and can be added to the front-end of your career
site through the Apply-with Widget. It can be used as a web-based
application (in the cloud) or locally installed (on-site). Data
extracted from the resumes/CVs or social profiles can be customised
according to the customer’s database fields or the requirements of
the customer’s current recruitment or HR system. They can then
build an optimum resume/CV database ideal for sourcing, analysis
and reporting.

All common web interfaces and formats are supported, allowing an
easy and quick integration of RapidParser into any existing system.
A complete documentation is provided online, including integration
examples for all common programming languages. A quickstart
tutorial enables automated CV parsing within minutes. Also,
RapidParser offers a free, anonymous online demo plus free web
service demo access.

Thoughput (Advertised)

Converter: 50-100 resumes per CPU per second.

Exclusive of any internet latency delay, CV/resume is parsed in
real-time in less than one second.